Distributed visibility fabrics for private, public, and hybrid clouds

ABSTRACT

Improved network visibility may be achieved by deriving network traffic information from numerous visibility platforms that are communicatively coupled to one another. In some embodiments, an end user interacts with a distributed visibility fabric via a user interface, which can include a high-level representation of each visibility platform. The end user can then map the network objects of each visibility platform onto a series of network visibility appliances. This technique allows certain network objects (e.g., maps) to be intelligently distributed amongst the series of network visibility appliances.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Provisional Patent ApplicationNo. 62/425,577 titled “Programmable Network Switches for Cloud ComputingArchitectures” and filed on Nov. 22, 2016, which is incorporated byreference herein in its entirety.

FIELD OF THE INVENTION

At least one embodiment of the present disclosure pertains to techniquesfor modeling network traffic and, more particularly, to techniques fordesigning the network fabric of a network visibility appliance usinggraphs.

BACKGROUND

Cloud computing is a type of computing that provides shared processingresources and data to computing devices on demand. More specifically,cloud computing models enable on-demand access to a shared pool ofconfigurable processing resources (e.g., computer networks, servers,storage mediums, applications, and/or services) that can be rapidlyprovisioned and released with minimal management effort.

Several different models exist for deploying cloud computinginfrastructures. “Private clouds,” for example, are infrastructures thatoperate solely for a single end user (e.g., an enterprise orindividual). Private clouds can be managed internally (e.g., by the enduser) or by a third party, and they can be hosted internally orexternally. Thus, while private clouds are dedicated to a particular enduser, multiple private clouds belonging to different end users may besupported by a single third party. “Public clouds,” meanwhile, areinfrastructures that are open for public use (i.e., are accessible tomultiple end users). Although there may be little or no technicaldifference between private and public cloud infrastructures, securityconsiderations may vary substantially based on the number of end usersto whom a cloud computing platform is made available.

Infrastructure-as-a-Service is a form of cloud computing that providesvirtualized computing resources. These virtualized computing resourcesmay be provided over a network, such as the Internet. The rapidevolution of IaaS has brought advantages such as economies of scale,elasticity, and agility to enterprises seeking to modernize theirinformation technology (IT) and data center infrastructures.Consequently, many enterprise administrators have begun re-evaluatingpast decisions to deploy or scale applications on premises, and insteadhave begun considering deploying or scaling applications across a cloudcomputing platform.

BRIEF DESCRIPTION OF THE DRAWINGS

One or more embodiments of the present invention are illustrated by wayof example and not limitation in the figures of the accompanyingdrawings, in which like references indicate similar elements.

FIG. 1 depicts a conventional cloud computing platform having athree-tier architecture that includes a Web Tier, an Application (App)Tier, and a Database Tier.

FIG. 2 depicts how Tap-as-a-Service (TaaS) may be used to implement alogical tap device in some embodiments.

FIG. 3 depicts a visibility platform that addresses these challenges andcan be used to provide consistent visibility into virtualized traffictraversing a public cloud architecture.

FIG. 4 depicts an example of how a visibility platform can be integratedinto a cloud computing platform to provide a coherent view ofvirtualized traffic in motion across the public cloud infrastructure fora given end user.

FIG. 5 depicts one embodiment of a visibility platform that can be runentirely within a cloud environment or a non-cloud environment (e.g., asa virtual machine).

FIG. 6 depicts one embodiment of a visibility fabric being monitored bya visibility platform.

FIG. 7 depicts one embodiment of a network visibility appliance that maybe executed by a visibility platform.

FIG. 8 depicts a graph that represents the network fabric of a networkvisibility appliance.

FIG. 9 depicts an example of a series of programmable flow tables thatcan be used by a network visibility appliance (and, more specifically, aprogrammable switch) to route traffic.

FIG. 10 depicts an example of a programmable flow table for a map.

FIG. 11 depicts a process for modeling the network fabric of a networkvisibility appliance.

FIG. 12 depicts how network services can be provisioned in a serial orparallel fashion.

FIG. 13 depicts a process for dynamically programming data structure(s)such that a traffic flow is routed through a series of networkservice(s).

FIG. 14 depicts a process for dynamically binding a map to a networkvisibility appliance prior to runtime.

FIG. 15 depicts one example of a distributed visibility fabric thatincludes multiple visibility platforms.

FIG. 16 depicts a deployment model that may be used by a hybrid cloudinfrastructure for an end user (e.g., a large enterprise).

FIG. 17 depicts a series of visibility platforms that reside withindifferent virtual networks in a single cloud computing region.

FIG. 18 depicts a process for managing a distributed visibility fabricthat includes multiple visibility platforms.

FIG. 19 is a high-level block diagram illustrating an example of aprocessing system in which at least some operations described herein canbe implemented.

DETAILED DESCRIPTION

With exponential growth in workloads within physical data centers, manyend users (e.g., individuals and enterprises) have begun moving workprocesses and data to cloud computing platforms. However, accessingvirtualized traffic traversing the cloud computing platforms forapplication, network, and security analysis is a challenge.

Introduced here, therefore, are visibility platforms, and associatedmethods, for monitoring virtualized traffic traversing a cloud computingplatform, such as Amazon Web Services, VMware, or OpenStack. Avisibility platform can be integrated into a cloud computing platform toprovide a coherent view of virtualized traffic in motion across thecloud computing platform for a given end user. Said another way, avisibility platform can intelligently select, manipulate, and forwardvirtualized traffic belonging to an end user to a monitoringinfrastructure, thereby eliminating traffic blind sports.

A visibility platform can include one or more agents for mirroringvirtualized traffic traversing a cloud computing platform, a networkvisibility appliance for aggregating and filtering the virtualizedtraffic, one or more controllers, and a client for managing thevisibility platform as a whole.

Each agent can be fully contained within a target virtual machine whosevirtualized traffic is to be monitored. Such an implementation allowsvirtual machine traffic flows of interest to be selected, forwarded, anddelivered to a monitoring infrastructure (e.g., a programmable switchthat is connected to one or more network tools). Although the agent(s)serve requests issued by the controller(s), each agent is responsiblefor dispatching its own virtualized traffic back to the monitoringinfrastructure.

The programmable switch, which may be a physical switch or virtualswitch, is responsible for aggregating virtualized traffic mirrored bythe agent(s), and then forwarding at least some of the aggregatedvirtualized traffic to one or more network tools for further analysis.In some embodiments, the programmable switch filters and/or manipulates(e.g., by slicing, masking, sampling, and/or replicating) the aggregatedvirtualized traffic before forwarding it downstream to the networktool(s).

The controller(s), meanwhile, may be controllable by the end user viathe client, which may be hosted on the cloud computing platform or in anon-premises computing environment controlled by the end user. Together,the client and the controller(s) enable centralized management of thevisibility platform as a whole. For example, the client may beconfigured to integrate with one or more application programminginterfaces (APIs) offered by the cloud computing platform in order toretrieve relevant information about the virtualized traffic beingmonitored.

Such a design not only provides greater visibility into virtualizedtraffic traversing a cloud computing platform, but can also extend thereach and leverage of existing network tools already owned or managed bythe end user to begin monitoring virtual network infrastructure.

Terminology

Reference to “one embodiment” or “an embodiment” means that theparticular feature, function, structure, or characteristic beingdescribed is included in at least one embodiment of the presentdisclosure. Occurrences of such phrases do not necessarily all refer tothe same embodiment, nor are they necessarily referring to alternativeembodiments that are mutually exclusive of one another.

The terms “connected,” “coupled,” or any variant thereof includes anyconnection or coupling between two or more elements, either direct orindirect. The coupling/connection can be physical, logical, or acombination thereof. For example, two devices may be physically,electrically, and/or communicatively coupled to one another.

General System Overview

FIG. 1 depicts a conventional cloud computing platform having athree-tier architecture that includes a Web Tier, an Application (App)Tier, and a Database Tier. Many enterprise administrators have begundeploying or scaling applications across cloud computing platforms (alsoreferred to as “cloud management frameworks”), such as Amazon WebServices, VMware, and OpenStack. For example, many enterpriseadministrators have begun deploying applications on cloud computingplatforms and/or using cloud computing platforms for high-bandwidth or“bursty” needs to augment on-premises storage environments (e.g.,private clouds and physical data centers). In both cases, a hybrid cloudis ultimately created for the enterprise. Other enterprises may startwith cloud computing resources and no physical data center footprint.Such a model is commonly referred to as a “born-in-the-cloud” model.

Unlike Software-as-a-Service (SaaS) environments in which applicationownership and information security is the responsibility of the SaaSprovider, an Information-as-a-Service (IaaS) environment (e.g., a publiccloud) assigns these responsibilities to the end user. Accordingly,migrating existing workloads onto a cloud computing platform introducesnew responsibilities and challenges for the individuals responsible formanaging the move. For example, migration may require that an end usermanage, secure, and understand data that is now traversing a publiccloud infrastructure (which is not controlled by the end user).Traditional security tools that were developed for physical data centersand private clouds are simply not able to acquire this data of interest.Consequently, end users that migrate or deploy workloads to a publiccloud face several challenges, including:

-   -   An inability to access traffic that is traversing the cloud        computing platform for analysis (and, by extension, information        about the virtualized traffic);    -   An inability to access data and perform tasks (e.g., deep packet        inspection) in support of forensics, end user experience        management, threat detection, and network tools;    -   A lack of visibility into vertical traffic flows (also referred        to as North-South traffic) that may be necessary for compliancy        and vertical threat detection/mitigation, such as Elastic Load        Balancer (ELB) to Web Tier traffic;    -   A lack of visibility into horizontal traffic flows (also        referred to as East-West traffic) that may be necessary for        compliancy and lateral threat detection/mitigation, such as Web        Tier to App Tier traffic or App Tier to Database Tier traffic;    -   A lack of sufficient, appropriate network tools (e.g., within a        Tool Tier);    -   An inability to troubleshoot and debug virtual networks; and    -   Increased and varied costs should an end user choose to backhaul        virtualized traffic from the cloud computing platform to an end        user-controlled environment where one or more network tools are        located.

When an end user uses an on-premises, single-tenant cloud computingplatform (i.e., a private cloud), several options exist for accessingvirtualized traffic traversing the private cloud infrastructure forreal-time analysis. For example, virtualized traffic can be divertedusing physical or virtual agents (e.g., tapping agents), switched portanalyzer (SPAN) sessions, or other network visibility solutions. Agentsare generally favored for gaining reliable, non-intrusive access tocritical virtualized traffic traversing a network.

However, these options are typically not available when applications orworkloads are deployed on a multi-tenant cloud computing platform (i.e.,a public cloud). Reliably monitoring virtualized traffic traversing suchinfrastructures instead involves placing one or more tap devices atappropriate locations within the public cloud infrastructure. In someembodiments, traffic analyzers are attached to some or all of the tapdevice(s). The traffic analyzers can then see the same data packetspassing through those network segments (i.e., as if the trafficanalyzers were also inline with the traffic). A logical tap device canbe constructed and implemented in several different ways.

First, the port mirroring functionality of a network switching element(e.g., a virtual or physical programmable switch) may be used to send acopy of data packets traversing one port to another port on the samenetwork switching element. Although this functionality is supported bymany modern physical and virtual programmable switches, it cannot beused to monitor the activity in many virtual networks due to twoarchitectural characteristics of cloud computing platforms,multi-tenancy and location independence.

Multi-tenancy allows available resources and services to be shared amongdifferent end users (e.g., tenants of virtual machines). Each end useris provided with an environment that is completely isolated from otherend users to the extent that a single end user may be unaware that otherend users are co-existing. Multi-tenancy promotes delegation of controlin a safe and secure manner. For example, end users may be permitted tocreate and administer their own private virtual networks.

Location independence, meanwhile, is primarily concerned with hiding theidentifies of individual infrastructure components from the virtualizedworkloads, which makes it possible to relocate running virtual machinesfrom one physical host to another. Another important benefit of locationindependence is improved efficiency in resource allocation that causesend users to be unaware of the physical host(s) on which their virtualmachine(s) are running. In fact, virtual machines belonging to differentend users (also referred to as “tenants”) may be placed on the samephysical host. In a shared ecosystem, end users are not given directaccess to the underlying switching fabric that may include host-levelvirtual switches, top-of-rack switches, etc. This restriction avoids thepossibility of any cross-tenant data leakage between the virtualmachines. Unfortunately, this also means that the port-mirroringcapability of the virtual switches supporting those virtual machines canno longer be used.

Second, Tap-as-a-Service (TaaS) may be used to implement a logical tapdevice as shown in FIG. 2. TaaS may offer an application programminginterface (API) that enables an end user or a cloud administrator tomonitor individual ports of virtual programmable switches within ashared virtual network. Because it is vital that end user boundaries arenot compromised, a given end user can only monitor its own ports (i.e.,any port on one of its private virtual networks or a port created by thegiven end user on a shared virtual network). Moreover, TaaS can enablemore complex traffic visibility solutions to be engineered for a diverseset of use cases, including network administration, applicationtroubleshooting, network security troubleshooting, data analytics, etc.However, the complex nature of successfully implementing TaaS generallylimits it to operating as an extension of an open source cloud computingplatform (or some other cloud computing platform that permitssignificant back-end infrastructure modification). TaaS may be thoughtof as a platform-oriented tapping service (i.e., rather than anagent-based tapping service). Such functionality must be supported andfacilitated by the (proprietary) cloud computing platform (e.g.,OpenStack).

Third, a tap device (also referred to as a “tapping agent” or an“agent”) may reside entirely within the virtual machine it isresponsible for monitoring. As further described below, such adeployment allows the agent to select, forward, and deliver virtualmachine traffic flows of interest to a visibility platform that monitorsvirtual workloads. The agent may be configured to “tap” a virtualmachine traffic flow and direct duplicate copies of data packets to thevisibility platform, or dispatch the virtual machine traffic flow itselfto the visibility platform.

Attempts have been made to employ traditional agent-based monitoringtechnologies for the type of in-depth traffic monitoring and managementactivities described above. However, traditional agent-based monitoringtechnologies often lead to very complex architectures when used incombination with public cloud infrastructures, especially if multiplenetwork tools require access to the same virtualized traffic forinspection and analysis as shown in FIG. 1. For example, traditionalagent-based monitoring technologies experience challenges such as:

-   -   An overabundance of discrete agents that increase the complexity        of the virtual network as a whole;    -   Decreased workload performance of the public cloud        infrastructure;    -   Degradation of virtual network (e.g., Virtual Private Cloud)        throughput and performance due to duplicate traffic; and    -   Reactive, static visibility of the virtual network that is        subject to heavy disruption.

FIG. 3 depicts a visibility platform 302 that addresses these challengesand can be used to provide consistent visibility into virtualizedtraffic traversing a public cloud architecture. Thus, the visibilityplatform 302 may provide a coherent view of traffic in motion across thepublic cloud architecture for a given end user. The visibility platform302 may be used to provide a holistic view of data maintained acrosson-premises locations, remote sites, public clouds, private clouds,hybrid clouds, or some combination thereof. Such visibility enables thevisibility platform 302 to analyze traffic (e.g., perform riskanalytics, security analytics, etc.) in a manner that wouldn't otherwisebe possible.

The visibility platform 302 may be implemented as a comprehensivevisibility tier on a virtual network 304 that is dedicated to the givenend user's account with a cloud computing platform 300. Such aconfiguration ensures that consistent ways of accessing, categorizing,and consolidating the delivery of virtualized traffic to security toolsand performance management tools continue to exist. Such a configurationalso allows the visibility platform 302 and each of these tools to beoperable as in-band (i.e., “inline”) devices or out-of-band devices.Out-of-band devices operate outside of the path of data traffic betweenan origination node and a destination node and receive copies of thedata packets that make up the traffic, rather than the original datapackets. Out-of-band devices are able to freely modify the copies of thedata packets because the original data packets are allowed to traversethe virtual network 304 unimpeded. Inline devices, on the other hand,operate within the path of data traffic between an origination node anda destination node and receive and forward the original data packets.

As further described below, the visibility platform 302 enables severalnotable advantages, including:

-   -   A consistent way to access virtualized traffic traversing one or        more virtual machines 306 (e.g., within a Web Tier 308, App Tier        310, and/or Database Tier 312);    -   Effective distribution of virtualized traffic to one or more        network tools (e.g., within a Tool Tier 314);    -   An ability to customize which virtualized traffic is routed to        which network tool(s) using traffic policies; and    -   Delivery of an elastic, on-demand visibility as end user        workloads scale out.

Note that although references may be made here to a particular cloudcomputing platform (e.g., Amazon Web Services), the technology describedherein is equally applicable to any cloud computing platform. Someembodiments of the technology are also applicable to other (i.e.,non-cloud) computing environments.

Visibility Platform Architecture

FIG. 4 depicts an example of how a visibility platform 402 can beintegrated into a cloud computing platform 400 to provide a coherentview of virtualized traffic in motion across the public cloudinfrastructure for a given end user. By installing agents 404 on some orall of the virtual machines 406 belonging to the given end user, thevisibility platform 402 can acquire data packets (or duplicate copies ofthe data packets) traversing the public cloud infrastructure for furtheranalysis in order to improve visibility into possible security risks.

The network environment shown in FIG. 4 often involves three separateentities: (1) a provider who maintains the public cloud infrastructureneeded to support or host the cloud computing platform 400; (2) asecurity entity who monitors virtualized traffic traversing the cloudcomputing platform 400 to identify security risks; and (3) an end user(e.g., an individual or an enterprise) who employs the cloud computingplatform 400 to run an application, store data, etc. Here, for example,the provider is responsible for managing a public cloud infrastructure,while the security entity is responsible for managing the visibilityplatform 402.

In some embodiments, the visibility platform 402 is communicativelycoupled to one or more network tools 408 for analyzing the virtualizedtraffic. The network tool(s) 408 can be hosted locally as part of thevisibility platform 402 (i.e., on the cloud computing platform 400) orremotely (e.g., within an on-premises computing environment controlledby the end user). When the visibility platform 402 is entirely virtual,the visibility platform 402 establishes a tunnel for delivering thevirtualized traffic to the network tool(s) 408 regardless of where thenetwork tool(s) 408 reside. However, when the visibility platform 402 isphysical (e.g., the network visibility appliance is comprised of aphysical programmable switch), the visibility platform 402 may establisha tunnel only for those network tool(s) 408 that are hosted remotely(e.g., are not directly coupled to the visibility platform 402 usingphysical cables).

A “tunnel” is a mechanism that can be used to reliably transmit trafficacross a network. Before virtualized traffic is forwarded to the tunnelby the visibility platform 402 for transmission to the network tool(s)408, the visibility platform 402 may create an outer jacket for thevirtualized traffic (and any other network content) based on the type oftunnel. For example, an inner payload could be wrapped in anencapsulation by the visibility platform 402 in accordance with aVirtual Extensible LAN (VXLAN) protocol or a Generic RoutingEncapsulation (GRE) protocol. The network tool(s) 408 can then removethe outer jacket upon reception and determine how the inner payload(i.e., the actual virtualized traffic) should be handled.

As further described below, the visibility platform 402 can exist as acloud-native virtual machine (also referred to as an “unnative virtualmachine”) that analyzes virtualized traffic traversing the cloudcomputing platform 400. Accordingly, the visibility platform 402 may notbe limited by the computer hardware responsible for supporting the cloudcomputing platform 400.

FIG. 5 depicts one embodiment of a visibility platform 500 that can berun entirely within a cloud environment or a non-cloud environment(e.g., as a virtual machine). Thus, the visibility platform 500 may behosted on a cloud computing platform, run on a dedicated piece ofcomputer hardware (e.g., a monitoring platform that includes a chassisand interchangeable blades offering various functionalities, such asenhanced packet distribution and masking/filtering capabilities), orsome combination thereof. For example, the visibility platform 500 couldinclude a network visibility appliance 504 that resides on a stand-alonepersonal computer, a dedicated network server, or some other computingdevice having an x86 instruction set architecture.

It is often desirable to run the network visibility appliance 504 as avirtual machine on the cloud computing platform (e.g., cloud computingplatform 400 of FIG. 4). For example, the visibility platform 500 mayexist inside of a Virtual Private Cloud (VPC) that resides within adedicated section of an end user's virtual network within Amazon WebServices. Such an arrangement permits the visibility platform 500 tointelligently optimize, filter, and analyze virtualized traffic acrosshundreds or thousands of virtual machines. Note, however, that thevisibility platform 500 may also exist outside of the VPC.

Several advantages exist when the visibility platform 500 is deployed onthe cloud computing platform. For example, additional computing devicesand/or virtual machines can be seamlessly added in a dynamic fashion toincrease the number of virtual central processing units (CPUs) (alsoreferred to as “processors”), add storage devices, etc. Similarly, thesecomputing device(s) and/or virtual machine(s) can be easily removed whenthey are no longer needed. Virtual implementation also enables thevisibility platform to take advantage of any software or hardwareacceleration techniques implemented by the provider or the end user. Forexample, the visibility platform 500 can leverage PCI passthrough ifsupported by the cloud provider and enabled by the end user and/or thesecurity entity.

The visibility platform 500 includes one or more agents 502 formirroring virtualized traffic traversing a cloud computing platform, anetwork visibility appliance 504 for aggregating and filtering thevirtualized traffic, one or more controllers 506, and a client 508 formanaging the visibility platform 500 as a whole. Other embodiments mayinclude a subset of these components.

As shown here, each agent 502 is fully contained within a correspondingtarget virtual machine 510 whose virtualized traffic is to be monitored.While the agent(s) 502 serve requests issued by the controller(s) 506,each agent 502 may be responsible for configuring its own interfacemirrors, tunnels, etc.

The network visibility appliance 504 can include a programmable switch(also referred to as a “switching engine”). The programmable switch maybe a physical switch or a virtual switch, such as a software-definednetworking (SDN) switch. The network visibility appliance 504 isresponsible for aggregating virtualized traffic mirrored by the agent(s)502, and then forwarding at least some of the aggregated virtualizedtraffic to one or more network tools 512 for further analysis. In someembodiments, the network visibility appliance 504 filters (e.g., slices,masks, or samples) and/or replicates the aggregated virtualized trafficbefore forwarding it downstream to the network tool(s) 512.

The controller(s) 506, meanwhile, may be controllable by the end uservia the client 508, which may be hosted on the cloud computing platformon in an on-premises computing environment controlled by the end user.In some embodiments a single controller 506 is configured to control theagent(s) 502 and the programmable switch 504, while in other embodimentsmultiple controllers 506 are configured to control the agent(s) 502 andthe network visibility appliance 504. Here, for example, a firstcontroller controls the agent(s) 502 and a second controller controlsthe network visibility appliance 504. However, each agent 502 could alsobe associated with a dedicated controller.

Together, the client 508 and the controller(s) 506 enable centralizedmanagement of the visibility platform 500 as a whole. For example, theclient 508 may be configured to integrate with one or more APIs 514offered by the cloud computing platform in order to retrieve relevantinformation about the virtualized traffic being monitored (e.g., enduser credentials, virtual machine addresses, virtualized trafficcharacteristics). As further described below, in some embodiments theclient 508 supports a drag-and-drop user interface that can be used bythe end user to create and implement traffic policies. Moreover, theclient 508 may provide traffic policy statistics to the end user or anadministrator (e.g., the manager of the visibility platform 500) fortroubleshooting in real time.

FIG. 6 depicts one embodiment of a visibility fabric 610 being monitoredby a visibility platform. The visibility platform may be described as ahierarchy that has different layers. Here, for example, the visibilityplatform includes a client 604, one or more controllers 606 a-b, and oneor more network visibility appliances 608 a-c.

Data would typically need to be translated as it travels from one levelto the next. However, one benefit of the visibility platforms introducedhere is the ability to control these multiple layers in the hierarchywith a consistent language/model. Consequently, changes can be readilymade to a specified level of the hierarchy (e.g., adding more networkvisibility appliances, adding intelligence to certain layer(s), oradding new layers) without affecting the visibility platform as a whole.

The network visibility appliances 608 a-c can be associated withspecified target(s) that are being monitored. For example, networkvisibility appliance A 608 a may examine traffic traversing a firstvirtual machine, network visibility appliance B 608 b may examinetraffic traversing a second virtual machine, and network visibilityappliance C 608 c may examine traffic traversing a third virtualmachine. The network visibility appliances 608 a-c can be referred to asthe “leaf nodes” in the hierarchy. Thus, each leaf node represents anactual appliance that is responsible for completing a task (e.g.,uploading traffic).

The controller(s) 606 a-b can issue instructions to the networkvisibility appliances 608 a-c. While each network visibility appliancemay be communicatively coupled to a controller, each network visibilityappliance need not be managed by a dedicated controller. Here, forexample, controller A 606 a manages network visibility appliance A 608 aand network visibility appliance B 608 b, while controller B 606 bmanages network visibility appliance C 608 c.

The controller(s) 606 a-b may be controllable by an end user via theclient 604 (also referred to as a “visibility fabric manager”). Morespecifically, the client 604 may be responsible for producing/supportinga user interface through which the end user can manage individualnetwork visibility appliances (e.g., filtering criteria) and/or thevisibility fabric 610 as a whole. In some embodiments, the client 604 iscommunicatively coupled to an orchestration program 602. Theorchestration program 602 may facilitate interactions between the client604 of the visibility platform and other computing devices (e.g., byinterfacing with certain APIs, operating systems, etc.).

FIG. 7 depicts one embodiment of a network visibility appliance that maybe executed by a visibility platform. The network visibility appliancecan include a programmable switch (also referred to as a “switchingengine”) that facilitates the routing of traffic through the networkvisibility appliance. Although several of the examples provided beloware described in the context of virtual programmable switches (e.g.,Open vSwitch, VMware NSX), the same techniques are equally applicable tophysical programmable switches (e.g., a Broadcom packet processor).

The network visibility appliance includes one or more ports (e.g., eth0,eth1, eth2, and eth3) for receiving virtualized traffic that has beentapped or forwarded from a cloud computing platform. Each portrepresents a Network Interface Card (NIC) or virtual Network InterfaceCard (vNIC). In the case of a virtual programmable switch, each port iscreated, cleared, and/or deleted by an API. Said another way, a newnetwork visibility appliance including a virtual programmable switchwill not have any ports upon installation. Instead, the port(s) must bedynamically created by the programmable switch and an API is assigned toeach port. A physical programmable switch includes a fixed number ofports, though additional ports could be added by installing a new bladeor card within the physical programmable switch. Thus, the programmableswitch will have one or more (v)NICs regardless of whether theprogrammable switch is implemented in software or physical hardware.

The network visibility appliance manages virtualized traffic coming intothese port(s) using rules (also referred to as “flow entries” or “accesscontrol lists”) that dictate whether incoming virtualized traffic shouldbe dropped or routed to another node within the visibility fabric (e.g.,another network visibility appliance). These rules are typicallymaintained within a programmable data structure (e.g., a flow table)that is accessible to the programmable switch. Generally, the datastructure is exposed to a controller (e.g., controller 506 of FIG. 5)that can be used to insert, remove, and/or modify filters or flows.

In order to properly route incoming virtualized traffic, theprogrammable switch (e.g., Open vSwitch or VMware NSX for virtualembodiments, Broadcom packet processor for physical embodiments) must becompatible with the port(s) and have access to a programmable datastructure (e.g., a flow table). When the programmable switch isimplemented entirely in software, the programmable data structure can berepresented as a series of flow tables. Unlike physical programmableswitches, virtual programmable switches are not limited to a single datastructure (e.g., a single ternary content-addressable memory (TCAM)).Software implementation permits rules to be intelligently distributedacross multiple virtual programmable switches. Different flow tables mayinclude different types of information.

As shown in FIG. 7, in some embodiments the programmable switch is splitinto multiple bridges (e.g., bridge_physical and bridge_main). Thepresence of multiple bridges will typically simplify the underlyingarchitecture of the network visibility appliance (and the relationshipbetween various ports of the network visibility appliance). However, theprogrammable switch need not be split into multiple bridges. In fact, insome instances it may be desirable to work with a single bridge.

Each virtual port (e.g., veth0, veth1, veth2, and veth3) created by thenetwork visibility appliance can be given a unique Internet Protocol(IP) address for management purposes. Generally, a programmable switchwill not assign IP addresses to any physical ports because they could be(and often are) shared by multiple virtual machines. After unique IPaddresses have been assigned to the virtual port(s), the networkvisibility appliance can completely ignore whether physical ports exist.Instead, the programmable switch can interface directly with the virtualport(s) constructed by API(s).

In some embodiments, the network visibility appliance is communicativelycoupled to a controller (e.g., controller 506 of FIG. 5) across anetwork. The controller could be, for example, a remote SDN controller(e.g., OpenDaylight) that implements traffic policies within the networkvisibility appliance. Together with a client (e.g., client 508 of FIG.5), the controller may allow an end user or an administrator to managemultiple network visibility appliances (and thus multiple virtualmachines or physical computing devices).

The network visibility appliance of which the programmable switch is apart may also include one or more applications for creating,aggregating, filtering, and/or modifying traffic. Each application mayreside within a separate program container when the network visibilityappliance is constructed in Linux. In such embodiments, each programcontainer can be communicatively coupled to a bridge (e.g., bridge_main)that is responsible for routing incoming traffic to the appropriateapplication(s).

FIG. 7 depicts several different kinds of network objects (e.g., rawendpoints, tunnel endpoints, application endpoints, and/or maps) thatallow the network visibility appliance to monitor virtualized traffic.More specifically, the network visibility appliance may be configured tofilter virtualized traffic (e.g., selecting virtualized traffic ofinterest by matching against specified criteria defined in maps),manipulate virtualized traffic (e.g., by performing operations such asslicing, masking, de-duplication, and compression), and/or transportvirtualized traffic (e.g., by receiving and dispatching virtualizedtraffic to network tool(s) for further analysis).

A network visibility appliance may include one or more raw endpoints(e.g., R1, R2, R3, and R4) that receive traffic directly fromcorresponding (v)NICs. The network visibility appliance may also includeone or more tunnel endpoints (e.g., T1, T2, T3, and T4) thatsend/receive traffic to/from remote locations. Examples of remotelocations include other network visibility appliances, on-premisescomputing environments, etc. Tunnel endpoints can be created by thenetwork visibility appliance using APIs, and tunnel endpoints aretypically associated with both a remote endpoint and a specific type(e.g., VXLAN or GRE).

The network visibility appliance may also include one or moreapplication endpoints (e.g., A1, A2, A3, A4, A5, and A6) thatsend/receive packets to/from application programs (also referred to as“applications”). Applications may be responsible for creating,aggregating, filtering, and/or modifying the virtualized trafficreceived by the network visibility appliance. Examples of applicationscan include masking programs, deep packet inspection programs, net flowgeneration programs, etc.

The network visibility appliance can receive virtualized traffic at rawendpoints, tunnel endpoints, and application endpoints, and the networkvisibility appliance can output virtualized traffic at tunnel endpointsand application endpoints. Raw endpoints, therefore, can only receiveincoming virtualized traffic, while tunnel endpoints and applicationendpoints are generally bi-directional (i.e., can receive and transmitvirtualized traffic across different ingress and egress interfaces).

Raw endpoints are illustrated as the lowermost endpoints in FIG. 7because they receive virtualized traffic directly from the (v)NICs.However, tunnel endpoints are often the predominant way to routevirtualized traffic away from the network visibility appliance (e.g.,into an on-premises environment that includes one or more networktools). Although application endpoints route virtualized traffic into anenvironment managed by an application, the environment still typicallyresides within the network visibility appliance as shown in FIG. 7.

Graph-Based Network Fabric for a Network Visibility Appliance

As noted above, a client (e.g., client 508 of FIG. 5) can becommunicatively coupled to a network visibility appliance (e.g., networkvisibility appliance 504 of FIG. 5). In some embodiments, the clientsupports a user interface (e.g., a drag-and-drop user interface) thatenables an end user to modify the visibility fabric of the networkvisibility appliance.

FIG. 8 depicts a graph that represents the network fabric of a networkvisibility appliance. When the network fabric of the network visibilityappliance is represented as a graph, an end user can easily modify thenetwork fabric, for example, by adding/removing network objects and/orrerouting traffic by modifying connections between pairs of networkobjects.

A graph is a collection of nodes that are connected with edges (alsoreferred to as “connections”). Here, the nodes represent separatenetwork objects (e.g., a raw endpoints, tunnel endpoints, applicationendpoints, or maps) and the connections illustrate how traffic flowsbetween these network objects. In some embodiments, each traffic flowincludes data packets processed by a virtual machine that iscommunicatively coupled to the network visibility appliance.

Generally, the graph is modeled as a directed acyclic graph (DAG), whichis a directed graph having no cycles. A DAG is formed from a topologicalsequence of nodes such that there is no path starting at a given nodethat eventually loops back to the given node. DAGs are preferred forrepresenting visibility fabrics because loops are bad for networks(e.g., traffic may continually be pushed around while consumingbandwidth). Although the usefulness of individual graphicalrepresentations may be limited in some instances, network solutions canbe more easily designed and built using the graphical representationsdescribed herein.

The nodes in a graph can represent several different kinds of networkobjects, including:

-   -   Raw endpoints that receive traffic from (v)NICs;    -   Tunnel endpoints that send/receive traffic to/from remote        locations (e.g., those outside of the visibility platform);    -   Maps representing packet filters that can be applied to the data        packets that form the traffic; and    -   Application endpoints that send/receive traffic to/from        application programs.

The connections depict how traffic flows amongst the nodes. Theconnections serve as links to connect the network objects in the desiredmanner. As noted above, the properties of the DAG prevent loops frombeing formed. Thus, each connection may be a directed edge thatindicates traffic only flows in one direction.

Here, for example, traffic enters the network visibility appliance attwo raw endpoints 802 a-b and a tunnel endpoint 804. Raw endpoints aregenerally the first node(s) in the graph because they receive trafficdirectly from (v)NICs. Traffic received at the tunnel endpoint 804 isrouted directly to veth0 806 a (i.e., a virtual port). Traffic receivedat raw endpoint 802 a is routed to a map 808, while traffic received atraw endpoint 802 b routed to both the tunnel endpoint 804 and the map808.

Data packets can be replicated as necessary when leaving a networkobject corresponding to a node having multiple outgoing connections. Forinstance, data packets leaving the raw interface 802 b can be duplicatedso that identical traffic streams are routed to the tunnel endpoint 804and the map 808.

The map 808 allows the network visibility appliance to select traffic ofinterest by matching against specified criteria defined in the map 808.For example, traffic satisfying a first specified criterion can berouted to veth0 806 a, and traffic satisfying a second specifiedcriterion can be routed to an application program 810, which forwards atleast some of the traffic to veth1 806 b (i.e., another virtual port).

Accordingly, a network visibility appliance including a processor and aningress interface (at which data packets are received) can identify asequence of network objects through which a traffic flow received at theingress interface should be routed, and then route the traffic flowthrough the sequence of network objects in accordance with a graphdefining the network fabric of the network visibility appliance.

A single graph can be used to represent all of the active service chainswithin a visibility fabric (which may span a single visibility platformor multiple visibility platforms). Moreover, because the graph isconstructed from nodes and connections, an end user (e.g., a networkadminister) can readily use the connections as links to connect thenetwork objects in any desired manner. Thus, the end user may use thegraph to more easily manage traffic flowing across cloud architecturesand/or non-cloud architectures. For example, the end user may review thegraph on a user interface and modify the traffic route(s) by drawingconnections between nodes, deleting existing connections, etc. Thevisibility fabric represented by the graph can be dynamically alteredwhenever nodes/connections are added, removed, or modified.

FIG. 9 depicts an example of a series of programmable flow tables thatcan be used by a network visibility appliance (and, more specifically, aprogrammable switch) to route traffic. Each network object capable ofreceiving incoming traffic (i.e., each raw endpoint, tunnel endpoint,and application endpoint) is represented by a row in Table_0. Thesenetwork objects can also be referred to as possible “ingress interfaces”or “ingress points.” Table_0 is responsible for initially routing allincoming traffic to a tunnel endpoint, an application endpoint, or a map(which requires the corresponding entry list another table). In someembodiments, the network visibility appliance maintains statisticsregarding how traffic is routed between the various network objects.

Each map is represented by its own table (e.g., Table_1, Table_2,Table_3, and Table_4). FIG. 10 depicts an example of a programmable flowtable for a map. The number of lines in the programmable flow table(which is generally on the order of hundreds or thousands) defines howmany rules are allowed in the map.

Maps represent packet filters that can be applied to data packets. A map(M) is a collection of one or more rules that is considered a “match” ifany of the rules has a match.M=R₁∨R₂ . . . ∨R_(n)

A rule (R) includes one or more rule components that must besimultaneously satisfied.R=r₁∧r₂∧ . . . ∧r_(m)

A rule component (r) is a specific filtering criterion for matchingpackets (e.g., based on address, protocol, source port, destinationport, or some other packet criteria).

As shown in FIG. 10, the programmable flow table can specify what willhappen if any of the rules (e.g., R1, R2, R3, R4, or R5) result in amatch. The outcome (also referred to as an “action set”) may specify,for example, that matching data packets should be dropped or routed to aspecific network object (e.g., a tunnel endpoint, an applicationendpoint, or another map).

FIG. 10 also depicts an example of a programmable flow table thatincludes the action sets for a map. An action set is a group of one ormore actions that are applied together. Each action set can specify oneor more different actions to be performed if application of acorresponding rule results in a match. If the action set is an empty setor a null set (i.e., does not include an affiliated action), then theprogrammable switch treats the action set as a conclusive drop rule.Accordingly, all matching data packets are dropped by the programmableswitch.

The action set may list a node corresponding to a tunnel endpoint or anapplication endpoint. Here, for example, ActionSet_4 lists node A1(which corresponds to an application endpoint). In such instances, theprogrammable switch directs matching data packets to the specified node,which causes the matching data packets to once again be governed byTable_0. The action set may also specify that matching data packetsshould be forwarded to another table corresponding to another map. Here,for example, ActionSet_3 causes traffic to be forwarded to Table_3,which represents another map. Traffic can be replicated as necessarywhen leaving a node that has more than one outgoing connection (e.g.,when the action set specifies multiple destinations).

Multiple rules may be associated with a single action set. Here, forexample, rule one (R1) and rule two (R2) are affiliated withActionSet_0, while rule three (R3), rule four (R4), and rule five (R5)are affiliated with ActionSet_2. Generally, these links to action setsare fixed once the map has been constructed and programmed into theprogrammable switch. However, because each map is assigned to its owntable, an end user may be able to easily add, remove, or modify maps byadding new tables, removing existing tables, or modifying entries inexisting tables.

In some embodiments, each rule is assigned a specific priority.Priorities can range from 0-99, where a larger number denotes a higherpriority. Higher priority rules can then be evaluated before lowerpriority rules. In some embodiments no specific execution order may beguaranteed for rules having the same priority, while in otherembodiments rules having the same priority are executed in the order inwhich they reside in the programmable flow table.

The links described above between the various programmable flow tablesare generally simple, passive links. However, the links could be mademore intelligent. For example, the programmable switch may add qualityof service (QoS) policies to certain links, stamp incoming data packetswith particular metadata (e.g., a timestamp or unique identifier),modify the IP addresses of outgoing data packets, etc.

Note that the same techniques could be implemented using a single tablethat is partitioned into multiple (logical) zones. For example, a firstgroup of rows may be allocated to the network objects capable ofreceiving incoming virtualized traffic, a second group of rows may beallocated to a first map, and a third group of rows may be allocated toa second map.

The programmable flow tables shown in FIGS. 9-10 can be programmed(e.g., by a network visibility appliance, client, or controller) usingthe graph. For example, the programmable flow tables may beautomatically populated responsive to determining the graph has beenfinalized by the end user. In some embodiments, the programmable flowtables are made accessible (i.e., exposed) to a controller that is ableto dynamically add, delete, and/or modify entries in real time as thegraph is altered by the end user.

FIG. 11 depicts a process 1100 for modeling the network fabric of anetwork visibility appliance. A client can initially identity aplurality of network objects of a network visibility appliance (step1101). The plurality of network objects can include raw endpoint(s),tunnel endpoint(s), application endpoint(s), and/or map(s). In someembodiments, the plurality of network objects includes every networkobject of the network visibility appliance.

The client can then construct a graph to visually represent the networkfabric of the network visibility appliance (step 1102). Each networkobject of the plurality of network objects can be displayed as a node inthe graph, while traffic flows between pairs of network objects can bedisplayed as edges (also referred to as “connections”) between pairs ofnodes in the graph.

The client can then cause the graph to be presented on a display of acomputing device (step 1103). For example, an end user (e.g., a networkadministrator) may wish to view the graph to see how traffic is beingrouted through the network visibility appliance.

The network visibility appliance can then route traffic in accordancewith the network fabric defined by the graph (step 1104). In someembodiments, the traffic is monitored as it traverses the network fabricof the network visibility appliance (step 1105). For example, thenetwork visibility appliance could generate statistics regarding how thetraffic is routed between the plurality of network objects. Suchstatistics may be useful to identify bottlenecks in the network fabric,the popularity of certain traffic types, etc.

The client may also enable the end user to specify a modification to thenetwork fabric of the network visibility appliance by modifying thegraph (step 1106). For example, the end user could add a newnode/connection, delete an existing node/connection, and/or alter acharacteristic of an existing node/connection. In such instances, theclient may transmit a notification specifying the modification to acontroller responsible for causing the modification to be implemented bythe network visibility appliance.

Dynamic Service Chaining and Late Binding

A service chain refers to a set of network services that areinterconnected through a network fabric to support a particularapplication. Thus, service chaining refers to the provisioning ofnetwork services for the particular application.

As shown in FIG. 12, these network services can be provisioned in aserial or parallel fashion. Service chaining can be used to ensure thattraffic streams skip unnecessary network services and receive only thosenetwork services that are needed. For example, an email service chainmay include virus, span, and phishing detection, while a video streamingservice chain may include traffic shaping policies to satisfy QoSguarantees. One or more characteristics of a traffic stream may be usedto determine which network service(s) are appropriate. Examples oftraffic characteristics include traffic protocol, origination source,destination source, data packet type, data packet header content, datapacket payload content, etc.

Network services are often implemented by applications and/or networktools that are communicatively to a network visibility appliance of avisibility platform. However, network services could also be implementedby, for example, firewalls or application delivery controllers (ADCs).Because the network fabric of the network visibility appliance can berepresented as a graph (e.g., a DAG) that makes use of action sets,service chains can be readily created, destroyed, and modified ondemand. This makes the processes of network management and applicationreplacement/upgrade easier.

As noted above, each node of the graph can be affiliated with an actionset (i.e., a group of one or more actions that are applied together).Multiple types of actions may be supported by a network visibilityappliance, including: (1) dropping some or all of the traffic; and (2)directing the traffic to another network object represented as anothernode in the graph.

When dealing with the type of graph shown in FIG. 8, it is oftendesirable for the graph to be dynamically editable. Static graphs aregenerally not very useful when dealing with networks that constantlychange over time. In fact, if a network includes hundreds or thousandsof separate nodes (e.g., raw endpoints, tunnel endpoints, applicationendpoints, and/or maps), a static graph is likely to only be useful fora short period of time because network analysis/filtering requirementschange and an end user may want to alter the graph.

FIG. 13 depicts a process 1300 for dynamically programming datastructure(s) such that a traffic flow is routed through a series ofnetwork service(s). A client initially identifies a plurality of networkobjects of a network visibility appliance (step 1301). The plurality ofnetwork objects can include raw endpoint(s), tunnel endpoint(s),application endpoint(s), and/or map(s).

The client can then receive a service chain arrangement indicative tothe network visibility appliance of how to route data packets through asequence of network object(s) that provide specified network service(s)(step 1302). Examples of network services include masking, slicing,sampling, replicating, deep packet inspection, net flow generation,access control, intrusion protection, network address translation (NAT),etc. Accordingly, the sequence of network object(s) will typicallyinclude application endpoint(s) that interface with application(s)and/or tunnel endpoint(s) that interface with network tool(s).

A controller can then populate a master data structure (e.g.,programmable flow table) accessible to the network visibility appliancewith an entry for each network object of the plurality of networkobjects (step 1303). Each entry in the master data structure can includea routing instruction that specifies where data packets received at thecorresponding network object should be routed.

The client may also identify any maps associated with the networkvisibility appliance (step 1304). If a map is discovered, the client maycause the controller to populate a secondary data structure with anentry for each rule of the map (step 1305) and associate the entry withan action that specifies how data packets satisfying the correspondingrule should be handled (step 1306).

The network visibility appliance can then route a traffic flow throughthe sequence of network objects(s) using the master data structure and,if necessary, the secondary data structure(s) (step 1307).

Other steps may also be included in some embodiments. For example, theclient could also cause a graph to be constructed that visuallyrepresents the network fabric of the network visibility appliance. Insuch embodiments, the graph can be presented on the display of acomputing device associated with an end user, who may be able todynamically change the sequence of network objects(s) by specifying amodification to the graph.

The end user may also wish to implement different maps over a certaintime period. For example, the end user may wish to implement a map thatseparates incoming traffic into different protocols (e.g., TransmissionControl Protocol (TCP) and User Datagram Protocol (UDP), or HypertextTransfer Protocol (HTTP), Secure Shell (SSH), and File Transfer Protocol(FTP)). As another example, the end user may wish to implement a policythat states traffic corresponding to some endpoints (e.g., executives'traffic or legal department traffic) should not be tapped, while trafficcorresponding to other endpoints (e.g., regular employees' traffic orengineering department traffic) should be routed to application(s)and/or network tool(s).

These maps could be built by the end user or some other entity (e.g., aprovider, security entity, or another end user) and, as noted above, canbe stored in separate programmable flow tables. Because the maps areentirely separate from one another, the architect of the first map neednot know that the second map even exists (and vice versa). Such anarrangement allows the end user and/or the architect to make changes toone map without affecting any other maps that could be implemented by anetwork visibility appliance.

In some embodiments, the architect may design a map without beingconcerned about how the map will subsequently be used. For example, amap may be designed to filter out all traffic of a certain type (e.g.,traffic corresponding to a specific service, such as Netflix).Independence allows maps to be designed on a micro level without needingto know how the maps are going to be used (also referred to as the“intended use”) on a macro level. Each map, therefore, can be treated asa packet-classifying engine.

In some embodiments, maps produced by different architects are hostedwithin a map library. The map library may include, for example, maps forseparating internal traffic from external traffic, traffic havingdifferent protocols, traffic having different priority measures, etc.

The end user (or some other network orchestrator) may be able toimplement a map stored in the map library using a graph that defines thevisibility fabric of a network visibility appliance. FIG. 14, forexample, depicts a process 1400 for dynamically binding a map to anetwork visibility appliance prior to runtime.

A client may initially identify a plurality of network objects of thenetwork visibility appliance (step 1401). Generally, the plurality ofnetwork objects will include raw endpoint(s), tunnel endpoint(s), and/orapplication endpoint(s) that are accessible to the network visibilityappliance.

The client can then receive user input specifying a map, a sourcenetwork object that is to direct data packets to the map, and adestination network object that is to receive data packets from the map(step 1402). The map may be selected from a map library that includesmultiple unbound maps (i.e., maps that were not bound to specificnetwork objects during construction). The source network object may beone of multiple source network objects that are to direct data packetsto the map. Similarly, the destination network object may be one ofmultiple destination network objects that are to receive data packetsfrom the map. For example, the user input may specify that video trafficis to be directed to a first destination network object (e.g., a tunnelendpoint), while all other traffic is to be directed to a seconddestination network object (e.g., an application endpoint).

A controller can then bind the map to the source network object and thedestination network object upon deployment within the network visibilityappliance (step 1303). Said another way, the controller can associatethe map with the source network object and the destination networkobject before the map is implemented (i.e., used) by the networkvisibility appliance. Binding may require that the controllerdynamically edit an action set associated with a data structure (e.g., aprogrammable flow table) corresponding to the map. The data structure isaccessible to the network visibility appliance, which can use the datastructure to route traffic.

Accordingly, an end user may be able to readily implement maps by simplyselecting a map and specifying the source node(s) and destinationnode(s) in a graph that defines the visibility fabric of the networkvisibility appliance. In some embodiments, the end user is also able tomodify the template maps hosted in the map library.

Because maps in the map library are not bound to specific networkobject(s) during construction, late binding can be used to bind a mapupon deployment. Note, however, that the network object(s) must be ableto comply with certain restrictions (e.g., the node(s) corresponding tothe network object(s) must be designed in a manner that permitslate/dynamic binding). Dynamic binding is implemented by editing theaction set(s) associated with each map. For example, the controller maymodify an action set so that traffic is routed to another network objectrather than being dropped.

When the graph permits dynamic binding, the end user has substantialflexibility to do various kinds of operations. Dynamic binding alsoallows the network visibility appliance to defer any decisions on whatnetwork object to call (e.g., a table representing a map or a tableentry representing a raw endpoint, tunnel endpoint, or applicationendpoint) until the network object is actually needed. Thus, oncedynamic binding is permitted and the binding can be changed at run time,the network visibility appliance can dynamically change service chainsfor handling the traffic.

Another advantage of the techniques described herein is thatmaps/filters can be programmed and network fabrics can be constructed byregular programmers using higher-level programming languages, such as C,Python, or Java. Said another way, the techniques described herefacilitate the transition to higher-level programming languages fordefining network filters, which has traditionally been a difficultand/or tedious process. For example, a map may be represented as aswitch structure that permits rules to be easily affiliated with certainoutcomes.

Distributed Visibility Fabric for Private, Public, and Hybrid Clouds

A visibility platform can include a network visibility appliance thatmay be implemented as a physical appliance (e.g., using a physicalprogrammable switch such as a Broadcom packet processor) or a virtualmachine (e.g., using a virtual programmable switch such as Open vSwitchor VMware NSX). However, a single visibility platform is generally not,by itself, very useful. Instead, better network visibility may beachieved by deriving traffic information from hundreds or thousands ofvisibility platforms.

FIG. 15 depicts one example of a distributed visibility fabric thatincludes multiple visibility platforms. An end user may interact withthe distributed visibility fabric via a user interface, which caninclude a high-level representation of each visibility platform. Thedistributed visibility fabric may be visually represented as a DAG.

The end user (or a security entity) can then map the network objects ofeach visibility platform onto a series of network visibility appliances.More specifically, the network objects of each visibility platform canbe mapped onto the programmable switch of each network visibilityappliance. This allows certain network objects (e.g., maps) to beintelligently distributed amongst the series of network visibilityappliances. In some embodiments, the network objects of each visibilityplatform are mapped onto the series of network visibility appliances onthe end user's behalf (i.e., without requiring further user input).

If traffic must go from one node to another node (i.e., from onevisibility platform to another visibility platform), the end user cancause the two nodes to be linked together to form an appropriateconnection. Different network arrangements can be supported when networkobjects are automatically and intelligently mapped onto the series ofnetwork visibility appliances. For example, if a programmable switch ofa network visibility appliance ceases to operate, the network object(s)associated with the programmable switch can be re-assigned to anoperational programmable switch of another network visibility appliance.Other advantages provided by the distributed visibility fabric can beseen in the use cases described below.

A single visibility platform (e.g., the visibility platforms of FIGS.3-4) can be used to provide pervasive visibility into the virtualizedtraffic traversing a cloud computing platform that is accessed by one ormore agents and a programmable switch. Accordingly, the visibilityplatform can be used to provide greater clarity into the traffic withinon-premises environments, private cloud environments, public cloudenvironments, hybrid cloud environments, and multi-virtual networkdeployments. The visibility platforms described here can be implementedin such a manner as to support numerous real-world, flexible deploymentmodels.

FIGS. 16-17 depict several different use cases for the visibilityplatforms described above, and each of these use cases is described ingreater depth below. Although FIGS. 16-17 may refer to a particularcloud computing service (e.g., Amazon Web Services), the techniques andarchitectures described herein can be used with any cloud computingplatform.

FIG. 16 depicts a deployment model that may be used by a hybrid cloudinfrastructure for an end user (e.g., a large enterprise). Morespecifically, a remote visibility platform resides within a virtualnetwork (e.g., a Virtual Private Cloud) of a cloud computing platformand is communicatively coupled to a local (e.g., on-premises) visibilityplatform that resides within an environment controlled by the end user.The remote visibility platform is configured to tap virtualized traffictraversing the cloud computing platform and route some or all of thevirtualized traffic back to the local visibility platform for furtheranalysis. This may be accomplished using a tunnel that is constructedusing one or more APIs that expose the remote visibility platform andthe local visibility platform at each end. Such an embodiment providesvisibility into a public cloud infrastructure while preserving end userinvestment into one or more network tools that are accessible to thelocal visibility platform.

FIG. 17, meanwhile, depicts a series of visibility platforms that residewithin different virtual networks of a single cloud computing region.Such an arrangement may be used to provide centralized visibility formulti-virtual network deployments. For example, the design shown herecould be used for public cloud infrastructures that have multiplevirtual networks for different applications, business units, end users,etc. Enterprises who have migrated and/or deployed all of theirapplications to a cloud computing platform (either public or private)are typically said to be following an all-in approach (and may bereferred to as “all-in-the-cloud enterprises”).

In such embodiments, a centralized virtual network that is managed by,for example, a security operations (SecOps) team can be used forsecurity or analytics, thereby eliminating the requirement that eachvirtual network host a separate tool tier for one or more network tools.An end user may also be able to utilize a network connection betweenmultiple virtual networks (e.g., using Amazon Web Services VPC Peering)to route virtualized traffic and save network costs for central trafficinspection and analysis. Thus, implementation of the visibility platformdesign shown in FIG. 16 can reduce network tool proliferation whileallowing for effective, centralized visibility for an all-in-the-cloudenterprise.

An end user could also manage a distributed visibility fabric using agraph that defines the distributed visibility fabric as a whole. FIG.18, for example, depicts a process 1800 for managing a distributedvisibility fabric that includes multiple visibility platforms.

A client can initially construct, for each visibility platform of themultiple visibility platforms, a separate graph that visually representstraffic flow to generate a plurality of graphs (step 1801). Each graphcan include nodes that represent network objects and connections betweenpairs of nodes that represent traffic flows between pairs of networkobjects.

The client can then generate a visual representation of the distributedvisibility fabric (step 1802). The visual representation may include theplurality of graphs corresponding to the plurality of visibilityplatforms. Each graph of the plurality of the graphs may be a DAG. Insuch embodiments, the visual representation of the distributedvisibility fabric may also be a DAG.

The client may cause the visual representation of the distributedvisibility fabric to be displayed by a computing device (step 1803). Anend user may be able to modify the individual visibility fabrics bymodifying the corresponding graphs. Moreover, the end user may be ableto modify the distributed visibility fabric by modifying the visualrepresentation.

A controller can map the network objects represented by the multiplegraphs included in the visual representation of the distributedvisibility fabric onto multiple network visibility appliances (step1804). The controller may perform such an action automatically on behalfof the end user (i.e., without requiring user input).

In some embodiments, the controller also monitors the connectivitystatus of each network visibility appliance (step 1805). Said anotherway, the controller can continually determine whether each networkvisibility appliance is capable of receiving and transmitting datapackets. The controller may determine that a first network visibilityappliance has become unresponsive (step 1806). In such instances, thecontroller can modify a traffic flow directed toward the first networkvisibility appliance by redirecting the traffic flow to a second networkvisibility appliance (step 1807). For example, the controller mayautomatically modify entries within a data structure accessible to aprogrammable switch that cause the traffic flow to be routed toward thefirst network visibility appliance. Moreover, the controller may copytraffic rule(s) hosted on the first network visibility appliance to thesecond network visibility appliance so that filtering policies continueto be applied.

Unless contrary to physical possibility, it is envisioned that the stepsin the processes described above (e.g., process 1100 of FIG. 11, process1300 of FIG. 13, process 1400 of FIG. 14, and process 1800 of FIG. 18)may be performed in various sequences and combinations. Other stepscould also be included in some embodiments. Moreover, while the steps ofthese processes have been described as being executed by certaincomponent (e.g., network visibility appliances, controllers, andclients), those steps could also be executed by other components andcomputing devices (e.g., a distinct computing device communicativelycoupled to a programmable switch of a network visibility appliance).

Processing System

FIG. 19 is a block diagram illustrating an example of a processingsystem 1900 in which at least some operations described herein can beimplemented. For example, the processing system 1900 may be responsiblefor generating an interface through which an end user modifies thevisibility fabric including one or more visibility platforms, interactswith a graph representing the visibility fabric, etc. As anotherexample, at least a portion of the processing system 1900 may beincluded in a computing device (e.g., a server) that supports a cloudcomputing platform. The process system 1900 may include one or moreprocessors 1902, main memory 1906, non-volatile memory 1910, networkadapter 1912 (e.g., network interfaces), display 1918, input/outputdevices 1920, control device 1922 (e.g., keyboard and pointing devices),drive unit 1924 including a storage medium 1926, and signal generationdevice 1930 that are communicatively connected to a bus 1916. The bus1916 is illustrated as an abstraction that represents any one or moreseparate physical buses, point to point connections, or both connectedby appropriate bridges, adapters, or controllers. The bus 1916,therefore, can include, for example, a system bus, a PeripheralComponent Interconnect (PCI) bus or PCI-Express bus, a HyperTransport orindustry standard architecture (ISA) bus, a small computer systeminterface (SCSI) bus, a universal serial bus (USB), IIC (I2C) bus, or anInstitute of Electrical and Electronics Engineers (IEEE) standard 1394bus, also called “Firewire.” A bus may also be responsible for relayingdata packets (e.g., via full or half duplex wires) between components ofa network appliance, such as a switching engine, network port(s), toolport(s), etc.

In various embodiments, the processing system 1900 operates as astandalone device, although the processing system 1900 may be connected(e.g., wired or wirelessly) to other devices. For example, theprocessing system 1900 may include a terminal that is coupled directlyto a network appliance. As another example, the processing system 1900may be wirelessly coupled to the network appliance.

In various embodiments, the processing system 1900 may be a servercomputer, a client computer, a personal computer (PC), a user device, atablet PC, a laptop computer, a personal digital assistant (PDA), acellular telephone, an iPhone, an iPad, a Blackberry, a processor, atelephone, a web appliance, a network router, switch or bridge, aconsole, a hand-held console, a (hand-held) gaming device, a musicplayer, any portable, mobile, hand-held device, or any machine capableof executing a set of instructions (sequential or otherwise) thatspecify actions to be taken by the processing system 1900.

While the main memory 1906, non-volatile memory 1910, and storage medium1926 (also called a “machine-readable medium) are shown to be a singlemedium, the term “machine-readable medium” and “storage medium” shouldbe taken to include a single medium or multiple media (e.g., acentralized or distributed database, and/or associated caches andservers) that store one or more sets of instructions 1928. The term“machine-readable medium” and “storage medium” shall also be taken toinclude any medium that is capable of storing, encoding, or carrying aset of instructions for execution by the processing system 1900 and thatcause the processing system 1900 to perform any one or more of themethodologies of the presently disclosed embodiments.

In general, the routines that are executed to implement the technologymay be implemented as part of an operating system or a specificapplication, component, program, object, module, or sequence ofinstructions (collectively referred to as “computer programs”). Thecomputer programs typically comprise one or more instructions (e.g.,instructions 1904, 1908, 1928) set at various times in various memoryand storage devices in a computer, and that, when read and executed byone or more processing units or processors 1902, cause the processingsystem 1900 to perform operations to execute elements involving thevarious aspects of the disclosure.

Moreover, while embodiments have been described in the context of fullyfunctioning computers and computer systems, those skilled in the artwill appreciate that the various embodiments are capable of beingdistributed as a program product in a variety of forms, and that thedisclosure applies equally regardless of the particular type of machineor computer-readable media used to actually effect the distribution.

Further examples of machine-readable storage media, machine-readablemedia, or computer-readable (storage) media include recordable typemedia such as volatile and non-volatile memory devices 1910, floppy andother removable disks, hard disk drives, optical disks (e.g., CompactDisk Read-Only Memory (CD ROMS), Digital Versatile Disks (DVDs)), andtransmission type media such as digital and analog communication links.

The network adapter 1912 enables the processing system 1900 to mediatedata in a network 1914 with an entity that is external to the processingsystem 1900, such as a network appliance, through any known and/orconvenient communications protocol supported by the processing system1900 and the external entity. The network adapter 1912 can include oneor more of a network adaptor card, a wireless network interface card, arouter, an access point, a wireless router, a switch, a multilayerswitch, a protocol converter, a gateway, a bridge, bridge router, a hub,a digital media receiver, and/or a repeater.

The network adapter 1912 can include a firewall which can, in someembodiments, govern and/or manage permission to access/proxy data in acomputer network, and track varying levels of trust between differentmachines and/or applications. The firewall can be any number of moduleshaving any combination of hardware and/or software components able toenforce a predetermined set of access rights between a particular set ofmachines and applications, machines and machines, and/or applicationsand applications, for example, to regulate the flow of traffic andresource sharing between these varying entities. The firewall mayadditionally manage and/or have access to an access control list whichdetails permissions including for example, the access and operationrights of an object by an individual, a machine, and/or an application,and the circumstances under which the permission rights stand.

Other network security functions can be performed or included in thefunctions of the firewall, including intrusion prevention, intrusiondetection, next-generation firewall, personal firewall, etc.

As indicated above, the techniques introduced here implemented by, forexample, programmable circuitry (e.g., one or more microprocessors),programmed with software and/or firmware, entirely in special-purposehardwired (i.e., non-programmable) circuitry, or in a combination orsuch forms. Special-purpose circuitry can be in the form of, forexample, one or more application-specific integrated circuits (ASICs),programmable logic devices (PLDs), field-programmable gate arrays(FPGAs), etc.

Note that any of the embodiments described above can be combined withanother embodiment, except to the extent that it may be stated otherwiseabove or to the extent that any such embodiments might be mutuallyexclusive in function and/or structure.

Although the present invention has been described with reference tospecific exemplary embodiments, it will be recognized that the inventionis not limited to the embodiments described, but can be practiced withmodification and alteration within the spirit and scope of the appendedclaims. Accordingly, the specification and drawings are to be regardedin an illustrative sense rather than a restrictive sense.

What is claimed is:
 1. A computer-implemented method for managing adistributed visibility fabric that includes a plurality of visibilityplatforms, the method comprising: constructing, for each visibilityplatform of the plurality of visibility platforms, a separate graph thatvisually represents traffic flow, to generate a plurality of graphs,wherein, for each visibility platform, constructing the graph includescreating a node in the graph for each network object of thecorresponding visibility platform, and creating a connection between apair of nodes in the graph for each traffic flow between a pair ofnetwork objects of the corresponding visibility platform; transmitting avisual representation of the distributed visibility fabric to a displaydevice or to a computing device having an associated display device, fordisplay to a user, wherein the visual representation includes theplurality of graphs corresponding to the plurality of visibilityplatforms; and mapping network objects represented by the plurality ofgraphs included in the visual representation of the distributedvisibility fabric onto a plurality of network visibility appliances. 2.The computer-implemented method of claim 1, wherein each visibilityplatform of the plurality of visibility platforms includes a pluralityof network objects that are represented as nodes in the correspondinggraph.
 3. The computer-implemented method of claim 2, wherein theplurality of network objects includes at least one of a raw endpoint, atunnel endpoint, an application endpoint, or a map.
 4. Thecomputer-implemented method of claim 3, wherein each raw endpoint, ifany, receives data packets from a Network Interface Card (NIC) of acorresponding visibility platform, each tunnel endpoint, if any,receives data packets from, or sends data packets to, an environmentoutside of a corresponding visibility platform, each applicationendpoint, if any, receives data packets from, or sends data packets to,an application program, and each map, if any, includes a rule formanaging data packets.
 5. The computer-implemented method of claim 1,wherein each graph of the plurality of graphs is a directed acyclicgraph (DAG).
 6. The computer-implemented method of claim 1, whereintraffic traversing the distributed visibility fabric includes a trafficflow processed by a virtual machine.
 7. The computer-implemented methodof claim 6, wherein each network visibility appliance of the pluralityof network visibility appliances is implemented using a virtualprogrammable switch.
 8. A computer-implemented method comprising:generating a visual representation of a distributed visibility fabricthat includes a plurality of visibility platforms, the visualrepresentation including a plurality of graphs corresponding to theplurality of visibility platforms, wherein each graph of the pluralityof graphs corresponds to a visibility platform of the plurality ofvisibility platforms, and wherein each graph includes a plurality ofnodes that represent a plurality of network objects of the correspondingvisibility platform, and at least one connection between a pair of nodesof the plurality of nodes that represents a traffic flow between a pairof network objects of the plurality of network objects; and mappingnetwork objects represented by the plurality of graphs onto a pluralityof network visibility appliances.
 9. The computer-implemented method ofclaim 8, further comprising: monitoring a connectivity status of eachnetwork visibility appliance of the plurality of network visibilityappliances; and determining that a first network visibility appliancehas become unresponsive.
 10. The computer-implemented method of claim 9,further comprising: automatically modifying a traffic flow directedtoward the first network visibility appliance by redirecting the trafficflow to a second network visibility appliance.
 11. Thecomputer-implemented method of claim 10, further comprising:automatically copying a traffic rule hosted on the first networkvisibility appliance to the second network visibility appliance.
 12. Thecomputer-implemented method of claim 8, wherein said mapping comprises:distributing a plurality of traffic rules associated with a singlenetwork object amongst at least two network visibility appliances of theplurality of network visibility appliances.
 13. The computer-implementedmethod of claim 8, further comprising: causing the visual representationof the distributed visibility fabric to be displayed on a display of acomputing device; enabling the user to specify a modified distributedvisibility fabric by modifying the plurality of graphs or connectionsbetween the plurality of graphs; and routing traffic in accordance withthe modified distributed visibility fabric defined by the visualrepresentation.
 14. The computer-implemented method of claim 13, furthercomprising: monitoring traffic as the traffic traverses the distributedvisibility fabric; and generating statistics regarding how the trafficis routed between the plurality of visibility platforms.
 15. Thecomputer-implemented method of claim 14, further comprising: causing thestatistics to be presented on the display of the computing device; andcontinually updating the statistics to illustrate real-time changes intraffic flow.
 16. The computer-implemented method of claim 8, wherein atleast one network visibility appliance of the plurality of networkvisibility appliances is implemented using a physical programmableswitch.
 17. A processing system comprising: a network interface throughwhich to communicate over a network; a processor coupled to the networkinterface; and a storage device coupled to the processor and storingcode, execution of which by the processor causes the processing systemto perform operations including: generating a visual representation of adistributed visibility fabric that includes a plurality of visibilityplatforms, the visual representation including a plurality of graphscorresponding to the plurality of visibility platforms, wherein eachgraph of the plurality of graphs corresponds to a visibility platform ofthe plurality of visibility platforms, and wherein each graph includes aplurality of nodes that represent a plurality of network objects of thecorresponding visibility platform, and at least one connection between apair of nodes of the plurality of nodes that represents a traffic flowbetween a pair of network objects of the plurality of network objects;and mapping network objects represented by the plurality of graphs ontoa plurality of network visibility appliances.
 18. The processing systemof claim 17, said operations further comprising: monitoring aconnectivity status of each network visibility appliance of theplurality of network visibility appliances; and determining that a firstnetwork visibility appliance has become unresponsive.
 19. The processingsystem of claim 18, said operations further comprising: automaticallymodifying a traffic flow directed toward the first network visibilityappliance by redirecting the traffic flow to a second network visibilityappliance.
 20. The processing system of claim 19, said operationsfurther comprising: automatically copying a traffic rule hosted on thefirst network visibility appliance to the second network visibilityappliance.
 21. The processing system of claim 17, wherein said mappingcomprises: distributing a plurality of traffic rules associated with asingle network object amongst at least two network visibility appliancesof the plurality of network visibility appliances.
 22. The processingsystem of claim 17, said operations further comprising: causing thevisual representation of the distributed visibility fabric to bedisplayed on a display of a computing device; enabling the user tospecify a modified distributed visibility fabric by modifying theplurality of graphs or connections between the plurality of graphs; androuting traffic in accordance with the modified distributed visibilityfabric defined by the visual representation.
 23. The processing systemof claim 22, said operations further comprising: monitoring traffic asthe traffic traverses the distributed visibility fabric; and generatingstatistics regarding how the traffic is routed between the plurality ofvisibility platforms.
 24. The processing system of claim 23, saidoperations further comprising: causing the statistics to be presented onthe display of the computing device; and continually updating thestatistics to illustrate real-time changes in traffic flow.
 25. Theprocessing system of claim 17, such that at least one network visibilityappliance of the plurality of network visibility appliances isimplemented using a physical programmable switch.